Hot Topics Detection of Network News-Reference-Cited by-同舟云学术

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Hot Topics Detection of Network News

Published:2013-01 Issue: Volume:278-280 Page:2058-2064
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Chi Cheng Ying¹,Li Hong¹,Zhan Xue Gang¹,Jiang Sheng Nan²

Affiliation:

1. University of Science and Technology Liaoning

2. Dongbei University of Finance and Economics

Abstract

In this paper, through analysis of the structure of web news texts, we have proposed an improvement measure for term weighting in hot topics detection, and a topic weighting scheme for hot topics ranking. Experiment result comparison shows that our method is effective and ranking of hot topics is closer to reality.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.278-280.2058.pdf

Reference9 articles.

1. ZENG Yi-lin, XU Hong-bo. Research on Internet hotspot information detection[J]. Journal on ComlTlunications, 2007. 28（12）: 141-146.

2. SUN Xue-gang, CHEN Qun-xiu, MA Liang. Study on Topic-Based Web Clustering[J]. Journal of Chinese Information Processing, 2003, ( 3) : 12-16.

3. Zhou Yadong , Sun Qindong, Guan Xiaohong. Internet Popular Topics Extraction of Traffic Content Words Correlation [J]. Journal of Xian Jiaotong University, 2007, 41( 10): 1142-1145, 1150.

4. YE Hui-min, CHENG Wei, DAI Guan-zhang．Design and Implementation of On-Line Hot Topic Discovery Model. Wuhan University Journal of Natural Sciences(WUJNS). 2006. 21-26.

5. http: /baike. baidu. com/view/1215398. htm.

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